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Methodology
← Learning Types
Machine Learning
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Learning Types
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Weakly Supervised Learning
3895 directly classified papers
Papers per year
2002: 5
2003: 3
2004: 3
2005: 1
2006: 7
2007: 8
2008: 7
2009: 13
2010: 20
2011: 7
2012: 11
2013: 43
2014: 35
2015: 66
2016: 74
2017: 133
2018: 194
2019: 388
2020: 388
2021: 566
2022: 469
2023: 588
2024: 435
2025: 350
2026: 81
Papers
Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels
ICCV 2025
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
AAAI 2025
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion
AAAI 2025
Label Noise Correction via Fuzzy Learning Machine
AAAI 2025
Multi-modal Identity Extraction
ICCV 2025
Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection
ICCV 2025
OVA-Fields: Weakly Supervised Open-Vocabulary Affordance Fields for Robot Operational Part Detection
ICCV 2025
Selective Contrastive Learning for Weakly Supervised Affordance Grounding
ICCV 2025
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
AAAI 2025
Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations
NAACL 2025
Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration
AAAI 2025
Lost in Literalism: How Supervised Training Shapes Translationese in LLMs
ACL 2025
SHIP: Structural Hierarchies for Instance-Dependent Partial Labels
WACV 2025
CLEAR: Character Unlearning in Textual and Visual Modalities
ACL 2025
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise
AAAI 2025
Combating Semantic Contamination in Learning with Label Noise
AAAI 2025
PreClinIE: An Annotated Corpus for Information Extraction in Preclinical Studies
ACL 2025
How to Mitigate Overfitting in Weak-to-strong Generalization?
ACL 2025
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels
ICCV 2025
M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection
AAAI 2025
The Nature of NLP: Analyzing Contributions in NLP Papers
ACL 2025
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
AAAI 2025
DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision
AAAI 2025
STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection
ACL 2025
MUG: Pseudo Labeling Augmented Audio-Visual Mamba Network for Audio-Visual Video Parsing
ICCV 2025
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